With the rapid advancement of modern radar technologies, the development of materials capable of
attenuating or eliminating electromagnetic wave reflection has become a critical area of research in
electromagnetic interference (EMI) shielding and radar stealth engineering. These materials are not only
essential for reducing radar detectability in military applications but also for safeguarding sensitive electronic
systems and minimizing electromagnetic exposure in biological systems. This study focuses on the fabrication
and characterization of a high-performance radar absorbing material effective in the X-band and Ku-band
frequency ranges, which are commonly used in advanced defense radar systems. A novel nanocomposite was
developed by incorporating 40 wt% FeMnCo alloy particles into a polyacrylonitrile (PAN) matrix via
electrospinning. The resulting nanofiber architecture exhibited a uniform, cross-linked network with fiber
diameters ranging from 200 to 400 nm, as confirmed by Scanning Electron Microscopy (SEM). X-ray
Diffraction (XRD) confirmed uniform nanofiber formation and phase stability. Electromagnetic wave
absorption properties were evaluated using a Vector Network Analyzer (VNA). The composite exhibited
broadband absorption behavior with reflection loss (RL) values below -20 dB across both the X and Ku bands,
indicating excellent radar attenuation performance. A minimum RL of -67.59 dB was recorded at 15.40 GHz,
demonstrating the material’s strong potential for stealth and EMI shielding applications. The findings highlight
the synergistic effect of ferromagnetic FeMnCo alloy particles and the high surface area of the nanofibrous
morphology in enhancing dielectric and magnetic loss mechanisms. This work contributes to the growing field
of radar absorbing materials by offering a scalable and efficient approach to next-generation stealth technologies
and electromagnetic protection systems. Future studies may focus on optimizing the composite’s thickness,
multi-layer configurations, and environmental durability to further improve real-world applicability and longterm performance.
| Primary Language | English |
|---|---|
| Subjects | Materials Science and Technologies |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | October 31, 2025 |
| Publication Date | October 31, 2025 |
| Submission Date | June 19, 2025 |
| Acceptance Date | July 23, 2025 |
| Published in Issue | Year 2025 Volume: 36 |